Overview
Data Scientist- Gen AI role at Scrumconnect Consulting. You will design, build, and deploy AI-powered tools end-to-end in a small, multi-disciplinary team. You’ll own discovery to deployment, scoping use-cases, building prototypes, hardening for production, and implementing evaluation and governance.
Responsibilities
- Build GenAI tools end-to-end (independently): chat/assistants, document Q&A (RAG), summarisation, classification, extraction, and workflow/agent automations.
- Own evaluation & safety: create offline/online eval sets, measure faithfulness/hallucination, bias, safety, latency and cost; add guardrails and red-teaming.
- Productionise: package as services/APIs or lightweight apps (e.g., Streamlit/Gradio/React), containerise, and integrate via CI/CD.
- Data pipelines: design chunking/embedding strategies, pick vector stores, manage prompt/versioning, and monitor drift & quality.
- Model strategy: select and mix providers (hosted and open-source), fine-tune where it’s sensible, and optimise for cost/perf/privacy.
- Stakeholder enablement: translate problems into measurable KPIs, run discovery, document clearly, and hand over maintainable solutions.
- Good practice: apply data ethics, security and privacy by design; align to service standards and accessibility where relevant.
Tech you’ll likely use
- Python (pandas, PyTorch/Transformers), SQL
- LLM frameworks: LangChain, LlamaIndex (or similar)
- Vector DBs: FAISS / pgvector / Pinecone (or similar)
- Cloud & Dev: Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI
- Data & MLOps: BigQuery/Snowflake, MLflow/DVC, dbt/Airflow (nice to have)
- Front ends (for internal tools): Streamlit / Gradio / basic React
Must-have experience
- 7+ years in Data Science/ML, including hands-on delivery of GenAI products (not just PoCs).
- Proven ability to ship independently: from idea → prototype → secure, supportable production tool.
- Strong Python & SQL; solid software engineering habits (testing, versioning, CI/CD).
- Practical LLM skills: prompt design, RAG, tool/function calling, evaluation & guardrails, and prompt/model observability.
- Sound grasp of statistics/experimentation (A/B tests, hypothesis testing) and communicating impact to non-technical audiences.
- Data governance, privacy and secure handling of sensitive data.
Nice to have
- Experience in regulated or public-sector-like environments.
- Azure OpenAI / Vertex AI / Bedrock; lightweight fine-tuning/LoRA.
- Front-end skills to craft usable internal UIs.
Diversity & Inclusion
At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
How to apply
Send your CV (referencing DS-GENAI) to the Recruitment Team. Shortlisted candidates will complete a brief technical exercise or portfolio walk-through focusing on a GenAI tool you built and shipped.
Additional details
Locations: London, England, United Kingdom. Employment type: Full-time. Seniority level: Mid-Senior level. Job function: Engineering and Information Technology. Industries: Software Development.
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